The owner could not tell from the UI what "Buzz Price Tracking" enabled, what the
"Price alert threshold" number meant, or what "Price Alerts" was alerting about.
That was not a copy problem: the implementation exposed our mechanism (a page
scrape) and our SQL predicates as the user's concepts. Two concrete defects came
from the same root:
- the alert population included versions the user already owns (neither the event
generator nor the query filtered on is_in_library; in the owner's library 28 of
52 gated versions were already downloaded, so most "alerts" were about files
already on disk, which cannot become cheaper *for them*);
- a threshold-filtered state list lived in a notification surface, so an empty
panel had three indistinguishable causes and read as a broken feature.
The information model is now the version plus ownership: cost is shown only where
a decision exists. Owned -> nothing. Not owned and free -> nothing. Not owned and
gated -> the price when it is known, `Paid` without a number when it is not, and
early access keeps its countdown because "free on <date>" decides between waiting
and paying. The numeric threshold has no place in that model: every decision is
categorical (wait / pay / skip), so the setting, the comparison and the whole
alert-state machine are gone.
- both alert-state columns are removed from the schema rather than left dead; a
database created by an unreleased build has them dropped on open (native
ALTER TABLE ... DROP COLUMN, guarded), which is a no-op for everyone else
- gate events are emitted only for versions the user does not have, and the
price-drop event goes with the threshold it belonged to
- both alert endpoints, PriceAlertsHandler and the service-registry adapter field
it needed are removed: events already reach the UI through the refresh response
- the bell tab, panel, CSS, both entry points, the unread watermark and their
locales are removed; the setting keeps only the enable flag and the refresh
interval and is framed as plumbing
- "Price unavailable" is replaced by `Paid`: the gate is certain from the public
API, only the number is best-effort, and that is our plumbing, not the user's
problem
Verified against a copy of the owner's real database: 52 gated versions ->
28 owned (now silent) + 24 the feature is actually about; the drop migration ran
and both removed endpoints 404.
P5a of docs/plans/paid-model-price-tracking.md: one surface that answers "what
got cheaper / became free", without a permanent button (the grid filter was
dropped by owner decision, so the panel carries the actions itself).
- price_alert_since records when an alert started, so the panel can say
"dropped 3 d ago" and count what is new since the user last looked; it is set
on the first sight of an already-cheap version, preserved while the alert
stands, and cleared when the price rises back above the threshold
- get_price_alerts() compares the threshold at read time (editing it takes
effect immediately, no refresh needed) and returns both kinds in one list;
model_type=None covers every type, which the shared update DB makes a single
query. "became free" needs no price data, so it is reported even while price
tracking is off
- GET /api/lm/price-alerts, registered once in MiscRoutes rather than per model
type, decorating rows best-effort with the local model name and file path from
the scanner indexes (a cold cache just omits them)
- a third tab in the notification bell: segments for under-threshold and
became-free, the three states (tracking off / nothing matching / stale), and
per-row actions (CivitAI always, Open when the model is local)
- two non-permanent entry points share one helper: the controls-bar updates
dropdown and the global context menu, whose label carries the unread count
- unread state stays client-side (localStorage watermark); the count is fetched
once on init and only when price tracking is enabled
- the per-type frontend client method is removed as dead code; the per-type
backend route stays for the companion extension
Add an opt-in 'centralized' sidecar storage mode alongside the default
'alongside' layout. In centralized mode, .metadata.json sidecars and
preview assets live under a configurable root (sidecar_storage_path,
default <settings_dir>/sidecars), mirroring the library-relative
directory structure: <root>/<library>/<root_basename>/<rel_dir>/.
Backend:
- settings: sidecar_storage_mode / sidecar_storage_path with validation;
changing either refreshes the preview allowlist
- config: centralized root added to preview-serving allowlist
- lifecycle: delete / move / rename / folder-rename / folder-delete and
undoable-delete staging all operate on the mirror tree in centralized
mode (model files themselves never move); EXDEV-tolerant cross-
filesystem moves
- scanners: pending-hash filesystem scan walks the mirror tree in
centralized mode; preview discovery reads from the sidecar dir;
.civitai.info stays co-located in both modes
- migration: SidecarMigrationUseCase moves sidecars+previews between
layouts both directions (keep-newer conflict resolution, preview_url
rewriting, WebSocket progress), exposed as POST+GET
/api/lm/sidecars/migrate with a mode guard (force=true for the
settings-first flow)
Frontend:
- settings modal: sidecar storage section (mode select + path input with
browse/validation), mode-change confirmation offering immediate
migration (force=true), and a 'Migrate Sidecars Now' action
- i18n keys synced to all locales ([TODO: Translate] placeholders)
Docs: metadata-json-schema.md gains a storage-location section;
AGENTS.md records the sidecar_paths helper convention.
ModelScope became a linkable source, but downloading from it was impossible:
the URL picker only recognised huggingface.co, the file listing hit a
huggingface-only endpoint, the resolve URL was hardcoded, and the default
path template always wrote into a `huggingface/` directory.
Move the download knowledge into the providers so the handlers stay generic:
- `ModelSource` gains `list_files()`, `file_download_url()`,
`default_revision` and `default_subdir`. `HuggingFaceSource` keeps the Hub
tree API (`/api/models/{id}/tree/{rev}`, LFS-aware sizes, `main`).
`ModelScopeSource` uses `/api/v1/models/{id}/repo/files?Revision=master`
— which reports real byte sizes for LFS files, so no HEAD probe is needed,
and which only accepts `master` (an HF-imported repo still 404s on `main`)
— and downloads through `/models/{id}/resolve/{rev}/{path}`. That URL
redirects to a CDN target carrying a time-limited `auth_key`, so it is
rebuilt on every request and never cached, which is also what keeps
resumable Range requests working.
- `hf_handlers.py`/`HfHandler` become `model_source_handlers.py`/
`ModelSourceHandler` with `list_model_source_files` and
`download_model_source`. New routes `/api/lm/model-source-files` and
`/api/lm/download-model-source`; the old `/api/lm/hf-repo-files` and
`/api/lm/download-hf-model` paths stay as aliases, and a payload without
`platform` still means Hugging Face, so existing callers are unaffected.
- A downloaded sidecar now records `source_platform` + `source_url` (with the
`hf_url` alias only for Hugging Face) instead of always writing `hf_url`,
and `use_default_paths` files ModelScope downloads under
`modelscope/<owner>/<repo>`. The now-unused shared HF aiohttp session and
its shutdown hook are gone; providers open short-lived sessions.
- Frontend: `detectUrlType` returns the platform-neutral
`model-source-repo` / `model-source-file` plus an explicit `platform`, the
DownloadManager's `hf*` state and methods are renamed to `source*`, every
`source === 'huggingface'` check becomes `isExternalModelSource()`, and
batch groups are keyed by `platform:repo` so the same `owner/name` on two
sites renders as two groups. A bare `owner/name` still means Hugging Face.
- `is_valid_source_id()` centralises repo-id validation (exactly
`owner/name`, no traversal, no leading dot). This also fixes the old HF
download check that rejected any dot in the name, i.e. legitimate repos
such as `black-forest-labs/FLUX.1-dev`.
Verified against the live APIs: the example repo lists 8 weight files with
correct sizes, and a ranged GET of the built resolve URL returns 206 after
following the redirect to the CDN. Backend 2853 passed; frontend 1143 JS +
91 Vue passed. The nine locales carry the refreshed download copy in the
next commit.
The download modal's location step decided between checkpoint and unet
roots using only the CivitAI file-type signal, while the backend also
falls back to DIFFUSION_MODEL_BASE_MODELS. Models like Anima (file type
"Model") were offered checkpoint roots in the UI even though
use_default_paths would route them to the unet root.
- Extract the two-tier decision into py/services/download_routing.py and
reuse it in DownloadManager._execute_download
- Add POST /api/lm/download/routing so the UI asks the backend for the
routing decision; fall back to the local file-type check on failure
- ModelVersionsTab: search both checkpoint and unet roots when resolving
an existing version's download path
Introduce an agent skill framework for LLM-driven metadata enrichment:
- AgentCLI (py/agent_cli/): in-process wrappers around internal services
using standard relative imports, eliminating the need for sys.path hacks
- LLMService: centralized BYOK (bring-your-own-key) LLM client supporting
OpenAI, Ollama, and custom OpenAI-compatible endpoints
- PostProcessor: deterministic engine that applies LLM output via AgentCLI
(replaces old handler.py + _BASE_MODEL_ALIASES approach)
- SkillRegistry: filesystem-based skill discovery (skill.yaml + prompt.md)
- AgentService: orchestrates skill execution with WebSocket progress
- Frontend AgentManager: WebSocket listeners, skill execution, config UI
- Context menu entries (single + bulk) for "Enrich Metadata (Agent)"
- Settings UI for AI Provider configuration (BYOK)
- Full i18n support across 9 locales
Bug fixes found during review:
- aiohttp.web.json_response: status_code= -> status=
- settings_modal cancelEditApiKey: wrong argument position
- AgentManager.isLlmConfigured: allow Ollama without API key
- PostProcessor._merge_tags: lowercase all tags to match TagUpdateService
Implement automatic fetching of base models from Civitai API to keep
data up-to-date without manual updates.
Backend:
- Add CivitaiBaseModelService with 7-day TTL caching
- Add /api/lm/base-models endpoints for fetching and refreshing
- Merge hardcoded and remote models for backward compatibility
- Smart abbreviation generation for unknown models
Frontend:
- Add civitaiBaseModelApi client for API communication
- Dynamic base model loading on app initialization
- Update SettingsManager to use merged model lists
- Add support for 8 new models: Anima, CogVideoX, LTXV 2.3, Mochi,
Pony V7, Wan Video 2.5 T2V/I2V
API Endpoints:
- GET /api/lm/base-models - Get merged models
- POST /api/lm/base-models/refresh - Force refresh
- GET /api/lm/base-models/categories - Get categories
- GET /api/lm/base-models/cache-status - Check cache status
Closes#854
- Add GET /api/lm/example-workflows endpoint to list available templates
- Add GET /api/lm/example-workflows/{filename} to retrieve specific workflow
- Add 'New Tab Template Workflow' setting in LoRA Manager settings
- Automatically apply 80% zoom level when loading template workflows
- Override workflow's saved view settings to prevent visual zoom flicker
The feature allows users to select a template workflow from example_workflows/
directory to load when creating new workflow tabs, with a hardcoded 0.8 zoom
level for better initial view experience.
- Add SupportersHandler in misc_handlers.py to serve /api/lm/supporters
- Register new endpoint in misc_route_registrar.py
- Remove supporters from page load template context in model_handlers.py
- Create supportersService.js for frontend data fetching
- Update Header.js to fetch supporters when support modal opens
- Modify support_modal.html to use client-side rendering
This change improves page load performance by loading supporters data
on-demand instead of during initial page render.
Adds custom words autocomplete functionality similar to comfyui-custom-scripts,
with the following features:
Backend (Python):
- Create CustomWordsService for CSV parsing and priority-based search
- Add API endpoints: GET/POST /api/lm/custom-words and
GET /api/lm/custom-words/search
- Share storage with pysssss plugin (checks for their user/autocomplete.txt first)
- Fallback to Lora Manager's user directory for storage
Frontend (JavaScript/Vue):
- Add 'custom_words' and 'prompt' model types to autocomplete system
- Prompt node now supports dual-mode autocomplete:
* Type 'emb:' prefix → search embeddings
* Type normally → search custom words (no prefix required)
- Add AUTOCOMPLETE_TEXT_PROMPT widget type
- Update Vue component and composable types
Key Features:
- CSV format: word[,priority] compatible with danbooru-tags.txt
- Priority-based sorting: 20% top priority + prefix + include matches
- Preview tooltip for embeddings (not for custom words)
- Dynamic endpoint switching based on prefix detection
Breaking Changes:
- Prompt (LoraManager) node widget type changed from
AUTOCOMPLETE_TEXT_EMBEDDINGS to AUTOCOMPLETE_TEXT_PROMPT
- Removed standalone web/comfyui/prompt.js (integrated into main widgets)
Fixes comfy_dir path calculation by prioritizing folder_paths.base_path
from ComfyUI when available, with fallback to computed path.
- Add `open_settings_location` method to `FileSystemHandler` to open OS file explorer at settings file location
- Register new POST route `/api/lm/settings/open-location` for settings file access
- Inject `SettingsManager` dependency into `FileSystemHandler` constructor
- Add cross-platform support for Windows, macOS, and Linux file explorers
- Include error handling for missing settings files and system exceptions
- Updated all relevant routes in `stats_routes.py` and `update_routes.py` to include the new '/api/lm/' prefix for consistency.
- Modified API endpoint configurations in `apiConfig.js` to reflect the new structure, ensuring all CRUD and bulk operations are correctly routed.
- Adjusted fetch calls in various components and managers to utilize the updated API paths, including recipe, model, and example image operations.
- Ensured all instances of the old API paths were replaced with the new '/api/lm/' prefix across the codebase for uniformity and to prevent broken links.
- Added BaseModelRoutes class to handle common routes and logic for model types.
- Created CheckpointRoutes class inheriting from BaseModelRoutes for checkpoint-specific routes.
- Implemented CheckpointService class for handling checkpoint-related data and operations.
- Developed LoraService class for managing LoRA-specific functionalities.
- Introduced ModelServiceFactory to manage service and route registrations for different model types.
- Established methods for fetching, filtering, and formatting model data across services.
- Integrated CivitAI metadata handling within model routes and services.
- Added pagination and filtering capabilities for model data retrieval.
Will Miao